Hybrid statistical testing for nuclear material accounting data and/or process monitoring data in nuclear safeguards

Burr, Tom; Hamada, Michael S.; Ticknor, Larry; Sprinkle, James

doi:10.3390/en8010501

Title: Hybrid statistical testing for nuclear material accounting data and/or process monitoring data in nuclear safeguards

Journal Article · Thu Jan 01 00:00:00 EST 2015 · Energies

DOI:https://doi.org/10.3390/en8010501· OSTI ID:1193445

Burr, Tom ^[1]; Hamada, Michael S. ^[1]; Ticknor, Larry ^[1]; Sprinkle, James ^[1]

Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

The aim of nuclear safeguards is to ensure that special nuclear material is used for peaceful purposes. Historically, nuclear material accounting (NMA) has provided the quantitative basis for monitoring for nuclear material loss or diversion, and process monitoring (PM) data is collected by the operator to monitor the process. PM data typically support NMA in various ways, often by providing a basis to estimate some of the in-process nuclear material inventory. We develop options for combining PM residuals and NMA residuals (residual = measurement - prediction), using a hybrid of period-driven and data-driven hypothesis testing. The modified statistical tests can be used on time series of NMA residuals (the NMA residual is the familiar material balance), or on a combination of PM and NMA residuals. The PM residuals can be generated on a fixed time schedule or as events occur.

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-06NA25396

OSTI ID:: 1193445

Report Number(s):: LA-UR-14-27526; ENERGA; PII: en8010501

Journal Information:: Energies, Vol. 8, Issue 1; ISSN 1996-1073

Publisher:: MDPI AGCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 3 works

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References (17)

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data driven
hybrid method
nuclear material accounting
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period driven
process monitoring
residuals
statistical methods
time series
hybrid statistical testing
pattern recognition

Title: Hybrid statistical testing for nuclear material accounting data and/or process monitoring data in nuclear safeguards

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